python_code stringlengths 0 258k |
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from abc import ABC, abstractmethod
from typing import Any, Callable
from torch.utils.benchmark import Timer
from torch.utils._pytree import tree_flatten
class BenchmarkCase(ABC):
@abstractmethod
def name(self) -> str:
pass
@abstractmethod
def run(self) -> Callable:
pass
def time(fn... |
import torch
from ..utils import dump_output
from .cases import benchmark_cases
from .util import benchmark
import pprint
from typing import List
BM_NAME = 'functorch'
def run_benchmarks():
metrics = {}
for case_ctor in benchmark_cases:
case = case_ctor()
runtime_ms = benchmark(case)
... |
from .util import BenchmarkCase
from torchbenchmark.models.lennard_jones import Model as LJModel
from torchbenchmark.models.functorch_maml_omniglot import Model as FTMamlOmniglot
from torchbenchmark.models.functorch_dp_cifar10 import Model as FTDPCifar10
from .vmap_hessian_fc import VmapHessianFC
from .simple_models im... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from functorch import vmap, grad, combine_state_for_ensemble, make_functional_with_buffers
import functools
from .util import BenchmarkCase
class SimpleMLP(nn.Module):
def __init__(self):
super(SimpleMLP, self).__init__()
self.fc1... |
import torch
import argparse
import json
import os
import time
import torch.utils.jit.log_extract as log_extract
from datetime import datetime
from typing import Any, List
def parse_fusers(extra_args: List[str]):
parser = argparse.ArgumentParser()
parser.add_argument(
"--fusers",
nargs="*",
... |
# contains the list of microbenchmark strings
# format: list of tuples (name, IR)
ir_list = [("autogen-0", """graph(%0 : Float(512, strides=[1], requires_grad=0, device=cuda:0),
%1 : Float(4096, 512, strides=[512, 1], requires_grad=0, device=cuda:0),
%2 : int):
%3 : int[] = prim::Constant[value=[4096, 51... |
from string import whitespace
import json
# From https://gist.github.com/pib/240957
# with adjustments to handle [0 1 2] (a . b) and (1bar ...)
atom_end = set('()[]"\'') | set(whitespace)
def parse(sexp):
stack, i, length = [[]], 0, len(sexp)
while i < length:
c = sexp[i]
#print c, stack
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from distutils.spawn import find_executable
from distutils import sysconfig, log
import setuptools
import setuptools.command.build_py
import setuptools.command.develop
im... |
## @package optimizer_test_util
# Module caffe2.python.optimizer_test_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import numpy as np
from caffe2.python import brew, core, workspace, cnn, optimi... |
## @package muji
# Module caffe2.python.muji
"""muji.py does multi-gpu training for caffe2 with no need to change the c++
side code. Everything is defined on the computation graph level.
Currently, here are the assumptions: we only support the following use cases:
- 2 gpus, where peer access is enabled between them.... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.python._import_c_extension as C
CAFFE2_NO_OPERATOR_SCHEMA = C.define_caffe2_no_operator_schema
build_options = C.get_build_options()
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from future.utils import viewkeys
from multiprocessing import Process, Queue
import numpy as np
import os
import shutil
import tempfile
import unittest
from hypothesis import assume, given
import hypothesis.str... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
from caffe2.python.test_util import TestCase
import unittest
core.GlobalInit(["caffe2", "--caffe2_cpu_numa_enabled=1"])
def build... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import hypothesis.strategies as st
import numpy as np
import numpy.testing as npt
import unittest
from hypothesis import given
import caffe2.python.hypothesis_test_util ... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import string
import argparse
import numpy as np
from caffe2.python.model_helper import ModelHelper
from caffe2.python.predictor import mobile_ex... |
# TODO(jiayq): as more and more tests are moving to hypothesis test, we
# can gradually remove this test script. DO NOT ADD MORE TESTS TO THIS
# FILE.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
... |
## @package attention
# Module caffe2.python.attention
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew
class AttentionType:
Regular, Recurrent, Dot, SoftCoverage = tuple(range(4))
... |
## @package task
# Module caffe2.python.task
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, context
from caffe2.python.schema import Field, from_blob_list
from collections import defaul... |
import unittest
from caffe2.python import convnet_benchmarks as cb
from caffe2.python import test_util, workspace
@unittest.skipIf(not workspace.has_gpu_support, "no gpu")
class TestConvnetBenchmarks(test_util.TestCase):
def testConvnetBenchmarks(self):
all_args = [
'--batch_size 16 --order NC... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.proto import caffe2_pb2
import caffe2.python.optimizer as optimizer
from caffe2.python.optimizer import (
build_sgd, build_multi_precision_sgd, build_ftrl, build_adagrad,
build_adam, build_ye... |
## @package optimizer_context
# Module caffe2.python.optimizer_context
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import context
from caffe2.python.modifier_context import (
ModifierContext,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import scope, core
from caffe2.proto import caffe2_pb2
import unittest
import threading
import time
SUCCESS_COUNT = 0
def thread_runner(idx, testob... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.core import CreatePythonOperator
import caffe2.python.hypothesis_test_util as hu
from hypothesis import given
... |
## @package hsm_util
# Module caffe2.python.hsm_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import hsm_pb2
'''
Hierarchical softmax utility methods that can be used to:
1) create Tre... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.schema import (
Struct, FetchRecord, NewRecord, FeedRecord, InitEmptyRecord)
from caffe2.python import core, workspace
from caffe2.python.session i... |
## @package memonger
# Module caffe2.python.memonger
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import networkx as nx
import collections
import time
import copy
from caffe2.python import workspace, core
from caffe... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import schema
from caffe2.python.regularizer_context import UseRegularizer, RegularizerContext
from caffe2.python.regularizer import L1Norm
from caffe2.python.optimizer import SgdOptimizer
fr... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from caffe2.python import workspace, core
import caffe2.python.parallel_workers as parallel_workers
def create_queue():
queue = 'queue'
worksp... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew, core, scope, workspace
from caffe2.python.modeling.parameter_info import ParameterTags
from caffe2.python.model_helper import ModelHelper
... |
## @package layer_test_util
# Module caffe2.python.layer_test_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from caffe2.python import (
core,
layer_model_instantiator,... |
import numpy as np
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import (
workspace,
device_checker,
test_util,
model_helper,
brew,
)
class TestMiniAlexNet(test_util.TestCase):
def _MiniAlexNetNoDropout(self, order):
# First, AlexNet using the cnn wrapper.
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import net_printer
from caffe2.python.checkpoint import Job
from caffe2.python.net_builder import ops
from caffe2.python.task import Task, final_output... |
## @package dataio
# Module caffe2.python.dataio
"""
Defines the base interface for reading and writing operations.
Readers/Writers are objects that produce operations that read/write sequences
of data. Each operation reads or writes a list of BlobReferences.
Readers and Writers must be implemented such that read and... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
import numpy as np
import unittest
import pickle
import random
class TestDB(unittest.TestCase):
def testPicklable(self):
... |
## @package checkpoint
# Module caffe2.python.checkpoint
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import logging
from caffe2.python import core, context
from caffe2.python.net_builder import ops
from c... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import workspace, memonger, core, model_helper, brew
from caffe2.proto import caffe2_pb2
import caffe2.python.hypothesis_test_util ... |
# @package parallel_workers
# Module caffe2.python.parallel_workers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
'''
This module provides a python-land multithreaded mechanism for executing work.
Basic usage is as... |
## @package hypothesis_test_util
# Module caffe2.python.hypothesis_test_util
"""
The Hypothesis library uses *property-based testing* to check
invariants about the code under test under a variety of random inputs.
The key idea here is to express properties of the code under test
(e.g. that it passes a gradient check,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
class TestSparseToDenseMask(TestCase):
def test_sparse_to... |
## @package crf
# Module caffe2.python.crf
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, recurrent, model_helper, brew
import numpy as np
'''
Due to a limitation in ReccurentNetworkOp,... |
## @package recurrent
# Module caffe2.python.recurrent
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from future.utils import viewitems, viewkeys
def recurrent_net(
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
class TestSparseToDense(TestCase):
def test_sparse_to_dens... |
## @package data_parallel_model_utils
# Module caffe2.python.data_parallel_model_utils
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from future.utils import viewitems, viewkeys, viewvalues
import logging
from caffe2.python import core
from caffe2.python... |
# @package regularizer_context
# Module caffe2.python.regularizer_context
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import context
from caffe2.python.modifier_context import (
ModifierConte... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
import hypothesis.strategies as st
import caffe2.python.hypothesis_test_util as hu
from caffe2.python import w... |
## @package control_ops_util
# Module caffe2.python.control_ops_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
def get_external_blob_names(net, lexical_scope):
"""
Returns... |
## @package control
# Module caffe2.python.control
"""
Implement functions for controlling execution of nets and steps, including
Do
DoParallel
For-loop
While-loop
Do-While-loop
Switch
If
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
import hypothesis.strategies as st
from multiprocessing import Process
import numpy as np
import tempfile
import shut... |
## @package timeout_guard
# Module caffe2.python.timeout_guard
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import contextlib
import threading
import os
import time
import signal
import logging
from future.utils imp... |
# @package modifier_context
# Module caffe2.python.modifier_context
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
DEFAULT_MODIFIER = 'DEFAULT'
class ModifierContext(object):
"""
provide context to allow pa... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import os
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, test_util, workspace, model_helper, brew
import caffe2.... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import numpy as np
from hypothesis import given
import hypothesis.strategies as... |
## @package experiment_util
# Module caffe2.python.experiment_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import datetime
import time
import logging
import socket
import abc
import six
from collections import... |
## @package session
# Module caffe2.python.session
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python.task import Cluster, Task, TaskGroup, WorkspaceType
cla... |
## @package record_queue
# Module caffe2.python.record_queue
"""
Implementation of a queue wrapper.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.dataio import Re... |
## @package layer_model_instantiator
# Module caffe2.python.layer_model_instantiator
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, schema
from caffe2.python.layers.layers import Instan... |
## @package rnn_cell
# Module caffe2.python.rnn_cell
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
import inspect
import itertools
import logging
import numpy as np
import random
import six
from futu... |
## @package _import_c_extension
# Module caffe2.python._import_c_extension
import atexit
import logging
import sys
from caffe2.python import extension_loader
# We will first try to load the gpu-enabled caffe2. If it fails, we will then
# attempt to load the cpu version. The cpu backend is the minimum required, so
# if... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from multiprocessing import Process, Manager
import numpy as np
import unittest
import tempfile
import shutil
import logging
from hypothesis import given
import hypothesis.strategies as st
log = logging.getL... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
from caffe2.python import brew, rnn_cell
class GRUCell(rnn_cell.RNNCell):
def __init__(
self,
input_size,
hidden_size,
... |
"""A tool to inspect the binary size of a built binary file.
This script prints out a tree of symbols and their corresponding sizes, using
Linux's nm functionality.
Usage:
python binary_size.py -- \
--target=/path/to/your/target/binary \
[--nm_command=/path/to/your/custom/nm] \
... |
## @package core
# Module caffe2.python.core
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple, OrderedDict, defaultdict
from past.builtins import basestring
from future.utils import vi... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import numpy as np
import struct
from hypothesis import given
# Eigen/Python r... |
## @package queue_util
# Module caffe2.python.queue_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dataio
from caffe2.python.task import TaskGroup
import logging
logger = loggin... |
## @package predictor_constants
# Module caffe2.python.predictor_constants
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.proto.predictor_consts_pb2 as predictor_consts
predictor_constants = predictor_co... |
## @package convnet_benchmarks
# Module caffe2.python.convnet_benchmarks
"""
Benchmark for common convnets.
Speed on Titan X, with 10 warmup steps and 10 main steps and with different
versions of cudnn, are as follows (time reported below is per-batch time,
forward / forward+backward):
CuDNN V3 ... |
## @package gradient_checker
# Module caffe2.python.gradient_checker
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import core, workspace, net_drawer
from caffe2.proto import ca... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import copy
import time
from functools import partial, reduce
from future.utils import viewitems, viewkeys
from hypothesis import assume, given, settings, HealthCheck
import hypothesis.strate... |
## @package visualize
# Module caffe2.python.visualize
"""Functions that could be used to visualize Tensors.
This is adapted from the old-time iceberk package that Yangqing wrote... Oh gold
memories. Before decaf and caffe. Why iceberk? Because I was at Berkeley,
bears are vegetarian, and iceberg lettuce has layers of... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python.schema import Struct, ConstRecord
from caffe2.python import core, workspace, model_helper
from caffe2.python.session import LocalSession
from caffe2.py... |
## @package cnn
# Module caffe2.python.cnn
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import brew
from caffe2.python.model_helper import ModelHelper
from caffe2.proto import caffe2_pb2
import lo... |
## @package test_util
# Module caffe2.python.test_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import core, workspace
import unittest
def rand_array(*dims):
# np.rand... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import control, core, test_util, workspace
import logging
logger = logging.getLogger(__name__)
class TestControl(test_util.TestCase):
def setUp(... |
## @package embedding_generation_benchmark
# Module caffe2.python.embedding_generation_benchmark
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace
import os
import tempfile
import unittest
class TestDB(unittest.TestCase):
def setUp(self):
handle, self.file_name = te... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from inspect import currentframe, getframeinfo
import unittest
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, test_ut... |
## @package dataset
# Module caffe2.python.dataset
"""
Implementation of an in-memory dataset with structured schema.
Use this to store and iterate through datasets with complex schema that
fit in memory.
Iterating through entries of this dataset is very fast since the dataset
is stored as a set of native Caffe2 tens... |
## @package text_file_reader
# Module caffe2.python.text_file_reader
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from caffe2.python.dataio import Reader
from caffe2.python.schema impor... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import unittest
import time
from caffe2.python import workspace, model_helper
from caffe2.python import timeout_guard
import caffe2.python.data_worker... |
## @package mkl_test_util
# Module caffe2.python.mkl_test_util
"""
The MKL test utils is a small addition on top of the hypothesis test utils
under caffe2/python, which allows one to more easily test MKL related
operators.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ impor... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from collections import namedtuple
from six import string_types
OpSchema = workspace.C.OpSchema
def namedtupledict(typename, ... |
## @package net_builder
# Module caffe2.python.net_builder
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, context
from caffe2.python.task import Task, TaskGroup
from caffe2.python.contr... |
## @package device_checker
# Module caffe2.python.device_checker
import numpy as np
import copy
from caffe2.python import workspace
from future.utils import viewitems
class DeviceChecker(object):
"""A device checker in Python to check consistency across multiple devices.
This is not the most efficient way to... |
## @package context
# Module caffe2.python.context
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import threading
import six
class ContextInfo(object):
def __init__(self, cls, allow_default, arg_name):
... |
# This a large test that goes through the translation of the bvlc caffenet
# model, runs an example through the whole model, and verifies numerically
# that all the results look right. In default, it is disabled unless you
# explicitly want to run it.
from caffe.proto import caffe_pb2
from google.protobuf import text_... |
## @package caffe_translator
# Module caffe2.python.caffe_translator
#!/usr/bin/env python2
import argparse
import copy
import logging
import re
import numpy as np # noqa
from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
from caffe.proto import caffe_pb2
from caffe2.python import core, utils, workspace
from goo... |
## @package utils
# Module caffe2.python.utils
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from future.utils import viewitems
from google.protobuf.message import DecodeError, Mes... |
## @package pipeline
# Module caffe2.python.pipeline
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, queue_util
from caffe2.python.dataio import Reader, Writer
from caffe2.python.net_bui... |
import numpy as np
import unittest
from caffe2.python import core, workspace, muji, test_util
@unittest.skipIf(not workspace.has_gpu_support, "no gpu")
class TestMuji(test_util.TestCase):
def RunningAllreduceWithGPUs(self, gpu_ids, allreduce_function):
"""A base function to test different scenarios."""
... |
## @package cached_reader
# Module caffe2.python.cached_reader
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from caffe2.python import core
from caffe2.python.dataio import Reader
from caffe2.python.datase... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace
from caffe2.python.core import Plan, to_execution_step, Net
from caffe2.python.task import Task, TaskGroup, final_output
from caffe2.p... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from future.utils import bytes_to_native_str
from hypothesis import given
import hypothesis.strategies as st
import unittest
from caffe2.proto import caffe2_pb2
from caf... |
## @package model_helper
# Module caffe2.python.model_helper
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, scope, workspace, helpers
from caffe2.python.modeling import parameter_info
f... |
## @package optimizer
# Module caffe2.python.optimizer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple, defaultdict
from past.builtins import basestring
import numpy as np
from caff... |
# @package optimizer
# Module caffe2.python.optimizer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
class Regularizer(object):
def __init__(self):
self.apply_after_optimi... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import context, test_util
from threading import Thread
@context.define_context()
class MyContext(object):
pass
class TestContext(test_util.Test... |
## @package layer_model_helper
# Module caffe2.python.layer_model_helper
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, model_helper, schema, scope, utils
from caffe2.python.modeling.pa... |
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